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Qing-Guo Chen

17 papers · 2019–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+4 more ↓ πŸ—ΊοΈ Taxonomy Completionist (31) 🌍 Conference Polyglot Β· Silver 🐣 Hot Topic Early Bird πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze
πŸ† Grand Slam ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (87)

Papers

MirrorCAPTCHA: Wild CAPTCHA, Wild Distribution, Wild Web-based Platform Meet Multimodal LLM Agents ACL 2026 Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding ACL 2026 CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation ICML 2025 MDP3: A Training-free Approach for List-wise Frame Selection in Video-LLMs ICCV 2025 Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis ICLR 2025 Multi-Label Test-Time Adaptation with Bound Entropy Minimization ICLR 2025 Parrot: Multilingual Visual Instruction Tuning ICML 2025 TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance ICCV 2025 UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation CVPR 2025 ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs ICLR 2025 Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees NeurIPS 2024 TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt IJCAI 2024 Wings: Learning Multimodal LLMs without Text-only Forgetting NeurIPS 2024 Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution AAAI 2020 Multi-View Partial Multi-Label Learning with Graph-Based Disambiguation AAAI 2020 Multi-View Active Learning for Video Recommendation IJCAI 2019 Multi-View Multi-Label Learning with View-Specific Information Extraction IJCAI 2019